This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh +12 more
wiley +1 more source
NDVI and Beyond: Vegetation Indices as Features for Crop Recognition and Segmentation in Hyperspectral Data. [PDF]
Nițu A +3 more
europepmc +1 more source
Multispectral Satellite Image Analysis for Computing Vegetation Indices by R in the Khartoum Region of Sudan, Northeast Africa. [PDF]
Lemenkova P, Debeir O.
europepmc +1 more source
Species diversity typically increases from higher to lower latitudes, but the regional‐scale variation along this geographic gradient remains unclear. It has been suggested that species diversity throughout Amazonia generally increases westward toward the Andes, but this pattern and its environmental determinants require further investigation for most ...
Pilar L. Maia‐ Braga +14 more
wiley +1 more source
Variation in Assessment of Leaf Pigment Content from Vegetation Indices Caused by Positions and Widths of Spectral Channels. [PDF]
Machikhin A +7 more
europepmc +1 more source
Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm. [PDF]
Pan W +5 more
europepmc +1 more source
The scaling of seed‐dispersal specialization in interaction networks across levels of organization
Natural ecosystems are characterized by a specialization pattern where few species are common while many others are rare. In ecological networks involving biotic interactions, specialization operates as a continuum at individual, species, and community levels. Theory predicts that ecological and evolutionary factors can primarily explain specialization.
Gabriel M. Moulatlet +3 more
wiley +1 more source
<i>In situ</i> estimation of cotton fourth internode length and height-to-node ratio using UAV-derived vegetation indices and machine learning algorithms. [PDF]
Ngimbwa PC +5 more
europepmc +1 more source
Comparative assessment of satellite- and drone-based vegetation indices to predict arthropod biomass in shrub-steppes. [PDF]
Traba J +9 more
europepmc +1 more source
The feasibility of detecting trees affected by the pine wood nematode using remote sensing [PDF]
Institute for Environment and Sustainability (Joint Research Centre)
core +1 more source

